Effect of short-term culture on functional and stress-related parameters in isolated human islets
Bibliographic record
Abstract
The Edmonton protocol for islet transplantation utilizes fresh islet grafts but other protocols increasingly transplant short-term cultured grafts mainly for practical reasons. To improve our understanding of the impact of culture pretreatment of human islets, we assessed post-transplant function by nude mouse bioassay, islet ATP, activity of stress-activated MAP kinases, and expression of stress-related genes by focused cDNA array in freshly isolated and cultured islets. Mean blood glucose levels over 4 weeks after transplantation (2000 IE) of (i) freshly isolated, (ii) cultured and preculture counted (recovery rate; 78 +/- 6%), and (iii) cultured and postculture counted islets in diabetic mice were 330 +/- 40, 277 +/- 65, and 256 +/- 52 mg/dl (i versus ii, P = 0.004; i versus iii, P = 0.002). During culture, islet ATP/DNA and ATP/ADP increased; JNK and p38 MAPK activities decreased. Among 96 genes studied, mRNA expression of heat shock protein 70 genes decreased >twofold during culture in all four pairs; expression of cyclooxygenase-2, superoxide dismutase-2, interleukin-6 and cytochromes P450 1A1 genes increased. Our results show that culturing human islets before transplantation is not disadvantageous in regard of functional recovery from changes induced by nonphysiologic stimuli during islet isolation. The increase in expression of several stress-related genes during culture also shows that improving culture conditions may further enhance post-transplant islet function.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".